TWI508528B - Test fixture adjusting system by image analysis and method thereof - Google Patents

Description

System and method for adjusting test fixture by image analysis

An adjustment system and method thereof, and more particularly to a system and method for adjusting a test fixture by image analysis.

For the detection of the image capturing device currently installed on the electronic device, the image capturing device directly captures the image, and then the image captured by the image capturing device is recognized, thereby detecting the setting on the electronic device. The upper image capture device.

However, the above detection method for the image capturing device disposed on the electronic device still has a problem in that the image capturing by the image capturing device is affected by the external environment, and the image capturing device is caused by the image capturing device. The image capture will cause distortion, which makes it difficult to identify the image captured by the image capture device, which may result in a false positive.

Therefore, it is necessary to use an additional test fixture to prevent the image capture device from capturing the image, which may be affected by the external environment. Although the test fixture can avoid the influence of the external environment, the image capture is performed according to different electronic devices. The device requires different test fixtures, and how to quickly and conveniently produce a test fixture corresponding to the image capture device on the electronic device to test the image capture device on the electronic device will be an unavoidable problem.

In summary, it has been known in the prior art that there has been a problem in the prior art that it is difficult to quickly and conveniently produce a standard test fixture corresponding to an image capture device on different electronic devices. Therefore, it is necessary to propose an improved technical means to solve the problem. This question.

In view of the prior art, there is a problem that it is difficult to quickly and conveniently produce a standard test fixture corresponding to an image capturing device on different electronic devices, and the present invention discloses a system for adjusting a test fixture by image analysis and a method, wherein: the system for adjusting a test fixture by image analysis disclosed in the present invention, the package thereof Including: electronic device, test fixture, image capture module, decoding module, comparison module and prompt module.

The electronic device is embedded with an image capturing device; the test fixture is disposed on the image capturing device, and at least one light source and a standard image are disposed in the testing fixture, and the standard image includes at least one color region and at least one code region The image capturing module is configured to capture a detection image including a standard image from the image capturing device; the decoding module is configured to decode the barcode of the detected image to generate a decoding result; the comparison module is used Aligning each pixel in the detected image with at least one RGB value range to compare at least one color pixel range; and the prompting module is configured to generate when the decoding result is inconsistent with the preset decoding result Adjusting the prompt message of the test fixture and displaying it, and simultaneously displaying the detection image; when the decoding result is consistent with the preset decoding result and the length of the color pixel range is inconsistent with the preset length, generating a prompt message for adjusting the test fixture light source and Displaying and displaying the detected image at the same time; or when the decoding result is consistent with the preset decoding result and the width of the color pixel range is inconsistent with the preset width, Adjustment of the test fixture and a light source display prompt message, and displays the image detected simultaneously.

The method for adjusting a test fixture by image analysis disclosed in the present invention comprises the following steps: first, providing an electronic device embedded with an image capturing device; then, providing a test fixture, testing the fixture setting and covering And at least one light source and a standard image are disposed on the image capturing device, wherein the standard image includes at least one color region and at least one code region; and then, the image capturing device includes the detection of the standard image Image; then, decoding the barcode to generate a decoding result; then, performing a comparison of each pixel in the detected image with at least one RGB value range to compare at least one color pixel range; When the decoding result is inconsistent with the preset decoding result, a prompt message for adjusting the test fixture is generated and displayed, and the detected image is displayed at the same time; then, when the decoding result is consistent with the preset decoding result and the length of the color pixel range is When the lengths are inconsistent, a prompt message for adjusting the test fixture light source is generated and displayed, and the detected image is simultaneously displayed; finally, when the solution is Results consistent with a preset decoding result and inconsistent color pixels of a width range of predetermined width, the adjustment of the test fixture to generate light and display prompt message, and displays the image detected simultaneously.

The system and method disclosed by the present invention are different from the prior art in that the test fixture of the present invention is disposed and overlaid on the image capturing device for adjustment of the test fixture by image analysis of resolution and color recognition. The data of the adjusted test fixture is established as the test fixture data corresponding to the standard of the image capture device, thereby preparing a standardized test fixture.

Through the above technical means, the present invention can achieve an adjustable test fixture And through image analysis to quickly and easily establish the technical efficacy of standardized data for test fixtures.

10‧‧‧Electronic devices

20‧‧‧Test fixture

21‧‧‧Standard image

211‧‧‧Color area

212‧‧‧ barcode area

31‧‧‧Image capture module

32‧‧‧Decoding module

33‧‧‧ Alignment module

34‧‧‧Tips module

41‧‧‧Detection image

411‧‧‧ first pixel

412‧‧‧second pixel

413‧‧‧ third pixel

414‧‧‧ fourth pixel

415‧‧‧ fifth pixel

416‧‧‧ sixth pixel

417‧‧‧ seventh pixel

418‧‧‧ pixel

Step 101‧‧‧ Providing an electronic device with an image capture device embedded therein

Step 102‧‧‧ provides a test fixture, the test fixture setting group is overlaid on the image capturing device, and at least one light source and a standard image are set in the test fixture, and the standard image includes at least one color region and at least one code region

Step 103‧‧‧ Capture image from the image capture device containing the standard image

Step 104‧‧‧ Decoding the detected image to generate a decoding result

Step 105‧‧‧ Aligning each pixel in the detected image with at least one RGB value range to compare at least one color pixel range

Step 106‧‧‧ When the decoding result is inconsistent with the preset decoding result, a prompt message for adjusting the test fixture is generated and displayed, and the detected image is simultaneously displayed

Step 107‧‧‧ When the decoding result is consistent with the preset decoding result and the length of the color pixel range does not coincide with the preset length, a prompt message for adjusting the test fixture light source is generated and displayed, and the detected image is simultaneously displayed.

Step 108‧‧‧ When the decoding result is consistent with the preset decoding result and the width of the color pixel range does not coincide with the preset width, a prompt message for adjusting the test fixture light source is generated and displayed, and the detected image is simultaneously displayed

FIG. 1 is a block diagram of a system for adjusting a test fixture by image analysis according to the present invention.

FIG. 2A is a schematic diagram showing a first perspective structure of the present invention for adjusting a test fixture by image analysis.

FIG. 2B is a schematic diagram showing a second perspective structure of the present invention for adjusting a test fixture by image analysis.

FIG. 3 is a schematic diagram of a standard image of the present invention for adjusting a test fixture by image analysis.

FIG. 4 is a flow chart showing a method for adjusting a test fixture by image analysis according to the present invention.

FIG. 5A is a schematic diagram showing a first detection image of the test fixture by image analysis according to the present invention.

FIG. 5B is a schematic diagram of a second detection image of the present invention for adjusting a test fixture by image analysis.

FIG. 5C is a schematic diagram of a third detection image of the present invention for adjusting a test fixture by image analysis.

The embodiments of the present invention will be described in detail below with reference to the drawings and embodiments, so that the application of the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented.

In the following, the system for adjusting test fixtures by image analysis disclosed in the present invention will be described first, and please refer to "1st map", "2A map" and "2B map", "Fig. 1". The system block diagram of the present invention for adjusting the test fixture by image analysis; FIG. 2A is a schematic diagram showing the first perspective structure of the test fixture for adjusting the test fixture according to the present invention; The figure is a schematic diagram of a second perspective structure of the present invention for adjusting test fixtures by image analysis.

A system for adjusting a test fixture by image analysis disclosed in the present invention The electronic device 10, the test fixture 20, the image capturing module 31, the decoding module 32, the comparison module 33, and the prompting module 34 are included.

The image capturing device 11 is embedded in the electronic device 10, and the test fixture 20 is disposed on the image capturing device 11. The test fixture 20 provides the image capturing device 11 to provide a black box and is in the test fixture 20. At least one light source and a standard image 21 are provided, and the schematic of the standard image 21 is shown in FIG. 3, and FIG. 3 is a standard diagram of the invention for adjusting the test fixture by image analysis. Like the schematic diagram, the standard image 21 includes at least one color area 211 and at least one code area 212, and it is worth noting that the colors in the color area 211 are respectively the same or different colors, and in the "Fig. 3" The two color regions 211 and one two-dimensional barcode region 212 are illustrated for illustrative purposes and are not intended to limit the scope of application of the present invention.

After the above-mentioned architecture setting is completed, the image capturing module 31 can capture the detection image including the standard image 21 from the image capturing device 11. Then, the decoding module 32 can be based on the one-dimensional barcode decoding method or two. The trellis barcode decoding method decodes the barcode of the detected image to generate a decoding result. The one-dimensional barcode decoding method analyzes the width and interval of the one-dimensional barcode to decode according to the width and interval of the one-dimensional barcode to generate a decoding result. The bar code is decoded according to the positioning mark, the correction mark, the version information and the format information defined by the two-dimensional bar code to generate a decoding result, which is merely an example, and is not limited to the application scope of the present invention, the one-dimensional bar code. The decoding method or the two-dimensional barcode decoding method can refer to the prior art, and will not be described again herein. In the "3rd picture", the two-dimensional barcode region 212 is decoded according to the two-dimensional barcode decoding method to generate a decoding result.

The decoding module 32 decodes the barcode of the detected image according to the one-dimensional barcode decoding method or the two-dimensional barcode decoding method to generate a decoding result, and the decoding result may include text, an image, a URL, an error code, and the like. It is merely illustrative and is not intended to limit the scope of application of the invention.

Then, the comparison module 33 is configured to compare each pixel point in the detected image with at least one RGB value range to compare at least one color pixel range, and it is worth noting that each color pixel range is The range of rectangles.

For example, assume that the first RGB value range is "R value is 255 to 250", "G value is 20 to 0", and "B value is 20 to 0", and it is assumed that the first pixel is in the detected image. The RGB values of all the pixels in the range of (50, 50), the second pixel (150, 50), the third pixel (50, 100), and the fourth pixel (150, 100) are within the first RGB value range. The comparison module 33 can compare the first pixel point (50, 50), the second pixel point (150, 50), the third pixel point (50, 100), and The range of the fourth pixel (150, 100) is the first color pixel range, which is merely illustrative here, and is not intended to limit the scope of application of the present invention.

It is assumed that the second RGB value range is "R value is 20 to 0", "G value is 255 to 250", and "B value is 20 to 0", and it is assumed that in the detected image at the fifth pixel point (50, 150), The RGB values of all the pixels in the range of the sixth pixel point (100, 150), the seventh pixel point (50, 180), and the eighth pixel point (100, 180) are all within the second RGB value range, and the comparison module 33 can be compared. The range of the fifth pixel point (50, 150), the sixth pixel point (100, 150), the seventh pixel point (50, 180), and the eighth pixel point (100, 180) is the second color pixel range, which is merely exemplified herein, and This does not limit the scope of application of the invention.

The decoding module 32 performs barcode decoding on the detected image according to the one-dimensional barcode decoding method or the two-dimensional barcode decoding method to generate a decoding result, and when the decoding result decoded by the decoding module 32 is inconsistent with the preset decoding result. The prompting module 34 can generate and display a prompt message for adjusting the test fixture, and simultaneously display the detected image, so that the depth of the test fixture 20 can be adjusted through the prompt message and the detected image.

For example, it is assumed that the decoding module 32 performs barcode decoding on the detected image to generate a decoding result of “decoding error”, and assumes that the preset decoding result is “1234”, at which time the decoding result is “decoding error” and pre- If the decoding result is “1234”, the prompting module 34 can generate and display the prompt message for adjusting the test fixture, and simultaneously display the detected image, thereby performing the test fixture 20 through the prompt message and the detected image. Adjustment.

Aligning each pixel in the detected image of the comparison module 33 with at least one RGB value range to compare at least one color pixel range, and decoding the decoding result and the preset decoded by the decoding module 32 When the decoding result is consistent but the length of the color pixel range compared with the comparison module 33 does not match the preset length, the prompting module 34 can generate a prompt message for adjusting the test fixture light source and display, and simultaneously display the detection image. Therefore, the adjustment of the light source of the test fixture 20 can be performed through the prompt message and the detection image, and the adjustment of the light source is, for example, a multi-point light source, a side light source, a surrounding light source, etc., which are merely illustrated herein, and are not Limits the scope of application of the present invention.

For example, assume that the second color pixel range that is compared by the comparison module 33 is a fifth pixel point (50, 150), a sixth pixel point (100, 150), a seventh pixel point (50, 180), and an eighth pixel point (100, 180). And assume that the preset length is "100". At this time, since the length of the second color pixel range is "50" and the preset length is "100", the decoding result generated by the decoding module 32 is "1234" is consistent with the preset decoding result of "1234", and the prompting module 34 can generate and display a prompt message for adjusting the test fixture light source, and simultaneously display the detected image, thereby performing the prompt message and the detected image. Test fixture 20 light source adjustment.

Comparing each pixel in the detected image of the comparison module 33 with at least one RGB value range to compare at least one color pixel range, and when the decoding module 32 decodes the decoding result and the preset When the decoding result is consistent but the width of the color pixel range compared with the matching module 33 does not match the preset width, the prompting module 34 can generate a prompt message for adjusting the test fixture light source and display, and simultaneously display the detection image. Therefore, the adjustment of the light source of the test fixture 20 can be performed through the prompt message and the detection image, and the adjustment of the light source is, for example, a multi-point light source, a side light source, a surrounding light source, etc., which are merely illustrated herein, and are not Limits the scope of application of the present invention.

For example, assume that the second color pixel range that is compared by the comparison module 33 is a fifth pixel point (50, 150), a sixth pixel point (100, 150), a seventh pixel point (50, 180), and an eighth pixel point (100, 180). And assume that the preset width is "50". At this time, since the width of the second color pixel range is "30" and the preset width is "50", the decoding result generated by the decoding module 32 is "1234". In accordance with the preset decoding result being “1234”, the prompting module 34 can generate and display a prompt message for adjusting the test fixture light source, and simultaneously display the detected image, thereby performing the test fixture through the prompt message and the detected image. 20 light source adjustment.

On the contrary, when the decoding result decoded by the decoding module 32 is consistent with the preset decoding result, the length of the color pixel range compared by the comparison module 33 is consistent with the preset length, and the comparison module 33 is compared. When the width of the color pixel range is consistent with the preset width, the prompting module 34 can generate and display the prompt information of the adjustment completion, and simultaneously display the detection image, thereby establishing the data of the adjusted test fixture 20 as The test fixture 20 data of the standard image capturing device 11 embedded in the corresponding electronic device is used to prepare a standardized test fixture 20.

For example, it is assumed that the decoding module 32 performs barcode decoding on the detected image to generate a decoding result of “1234”, and assumes that the preset decoding result is “1234”, and the decoding result is “1234” and the preset decoding result. The second color pixel range that is aligned with the comparison module 33 is the first pixel point (50, 50), the second pixel point (150, 50), the third pixel point (50, 100), and The fourth pixel point (150, 100), and assumes that the preset length is "100" and the preset width is "50", and the length of the second color pixel range is "100" and the preset length is "100" and the The width of the second color pixel range is “50” and the preset width is “50”, and the prompt module 34 can generate an adjustment. The completed prompt message is displayed and displayed at the same time, so that the data of the adjusted test fixture 20 can be established as the test fixture 20 data corresponding to the image capturing device 11 embedded in the corresponding electronic device, and further Standardized test fixtures 20 are made.

Next, the operation mode and flow of the present invention will be explained below by way of an embodiment. The following embodiments show that "1st picture", "2A picture", "2B picture", "3rd picture", and the like are coordinated. The figure is shown in Fig. 4, and Fig. 4 is a flow chart showing the method of adjusting the test fixture by image analysis according to the present invention.

The image capturing device 11 is embedded in the electronic device 10 (step 101). The test fixture 20 is disposed and covers the image capturing device 11. The test fixture 20 provides the image capturing device 11 to provide a black box effect and is tested. At least one light source and standard image 21 are disposed in the fixture 20 (step 102), and the standard image 21 is shown in "3", and "3" is shown in the present invention by image analysis. To adjust the standard image diagram of the test fixture, the standard image 21 includes at least one color region 211 and at least one code region 212 (step 102), and it is noted that the colors in the color region 211 are respectively the same or different. The color is schematically illustrated in the "Fig. 3" by two color regions 211 and a two-dimensional barcode region 212, and is not intended to limit the scope of application of the present invention.

Next, please refer to the description of FIG. 5A. FIG. 5A is a schematic diagram showing the first detection image of the present invention for adjusting the test fixture by image analysis.

After the above-mentioned architecture setting is completed, the image capturing module 31 can capture the detected image including the standard image 21 from the image capturing device 11 (step 103), and then the decoding module 32 can decode according to the two-dimensional barcode. The method performs decoding of the barcode on the detected image 41 to generate a decoding result, and in the embodiment, the decoding result generated by the decoding module 32 is "decoding error" (step 104).

The default decoding result in the embodiment is “1234”. At this time, because the decoding result is “decoding error” and the preset decoding result is “1234”, the prompting module 34 can generate a prompt message for adjusting the test fixture. And displaying, and simultaneously displaying the detected image 41 (step 106), whereby the depth of the test fixture 20 can be adjusted through the prompt message and the detected image 41.

Next, please refer to the description of FIG. 5B. FIG. 5B is a schematic diagram showing a second detection image of the present invention for adjusting the test fixture by image analysis.

After the above-mentioned architecture setting is completed, the image capturing module 31 can capture the detected image including the standard image 21 from the image capturing device 11 (step 103), and then the decoding module 32 can decode according to the two-dimensional barcode. The method performs decoding of the barcode on the detected image 41 to generate a decoding result, and in the embodiment The decoding result generated by the decoding module 32 is "1234" (step 104). At this time, the decoding result generated by the decoding module 32 is "1234" and the preset decoding result is "1234".

In an embodiment, the first RGB value range is "R value is 255 to 250", "G value is 20 to 0", and "B value is 20 to 0", and the first pixel is detected in the detected image 41. The RGB values of all the pixels in the range of 411 (50, 50), the second pixel point 412 (150, 50), the third pixel point 413 (50, 100), and the fourth pixel point 414 (150, 100) will be in the first RGB. Within the value range, the comparison module 33 can compare the first pixel point 411 (50, 50), the second pixel point 412 (150, 50), the third pixel point 413 (50, 100), and the fourth pixel point 414 ( The range of 150, 100) is the first color pixel range (step 105).

The second RGB value range is "R value is 20 to 0", "G value is 255 to 250", and "B value is 20 to 0", and in the detection image 41 at the fifth pixel point 415 (50, 150), The RGB values of all the pixels in the range of the sixth pixel point 416 (100, 150), the seventh pixel point 417 (50, 180), and the eighth pixel point 417 (100, 180) are all within the second RGB value range, and the comparison module 33 The range of the fifth pixel point 415 (50, 150), the sixth pixel point 416 (100, 150), the seventh pixel point 417 (50, 180), and the eighth pixel point 418 (100, 180) can be compared to the second color pixel range (step 105). ).

In the embodiment, the preset length is “100”. At this time, since the length of the second color pixel range is “50” and the preset length is “100”, the prompt module 34 can generate the adjustment test fixture light source. The prompt message is displayed and displayed simultaneously with the detection image 41 (step 107), whereby the adjustment of the light source of the test fixture 20 can be performed through the prompt message and the detection image 41.

Moreover, the preset width in the embodiment is “50”. At this time, since the width of the second color pixel range is “30” and the preset width is “50”, the prompt module 34 can generate the adjustment test fixture light source. The prompt message is displayed and displayed simultaneously with the detection image 41 (step 108), whereby the adjustment of the light source of the test fixture 20 can be performed through the prompt message and the detection image 41.

Next, please refer to the description of FIG. 5C. FIG. 5C is a schematic diagram showing a third detection image of the present invention for adjusting the test fixture by image analysis.

After the above-mentioned architecture setting is completed, the image capturing module 31 can capture the detected image including the standard image 21 from the image capturing device 11 (step 103), and then the decoding module 32 can decode according to the two-dimensional barcode. The method performs decoding of the barcode on the detected image 41 to generate a decoding result, and in the embodiment, the decoding result generated by the decoding module 32 is “1234” (step 104), and the decoding module 32 at this time The generated decoding result is "1234" and the preset decoding result is "1234".

In an embodiment, the first RGB value range is "R value is 255 to 250", "G value is 20 to 0", and "B value is 20 to 0", and the first pixel is detected in the detected image 41. The RGB values of all the pixels in the range of 411 (50, 50), the second pixel point 412 (150, 50), the third pixel point 413 (50, 100), and the fourth pixel point 414 (150, 100) will be in the first RGB. Within the value range, the comparison module 33 outputs the first pixel point 411 (50, 50), the second pixel point 412 (150, 50), the third pixel point 413 (50, 100), and the fourth pixel point 414 (150, 100). The range is the first color pixel range (step 105).

The second RGB value range is "R value is 20 to 0", "G value is 255 to 250", and "B value is 20 to 0", and in the detection image 41 at the fifth pixel point 415 (50, 150), The RGB values of all the pixels in the range of the sixth pixel point 416 (150, 150), the seventh pixel point 417 (50, 200), and the eighth pixel point 417 (150, 200) are all within the second RGB value range, and the comparison module 33 The range of the fifth pixel point 415 (50, 150), the sixth pixel point 416 (100, 150), the seventh pixel point 417 (50, 180), and the eighth pixel point 418 (100, 180) can be compared to the second color pixel range (step 105). ).

The preset decoding result in the embodiment is “1234”. At this time, since the decoding result is “1234” and the preset decoding result is “1234”, the preset length in the embodiment is “100”, The first color pixel range and the second color pixel range have a length of "100" and a preset length of "100", and the preset width in the embodiment is "50", at which time the first color pixel range and the first The width of the two color pixel ranges is “50” and the preset width is “50”, and the prompting module 34 can generate and display the prompt information of the adjustment completion, and simultaneously display the detection image 41, thereby the post-adjustment test can be performed. The data of the jig 20 is established as the test fixture 20 data standard with the image capturing device 11 embedded in the corresponding electronic device, thereby manufacturing a standardized test fixture 20.

In summary, it can be seen that the difference between the present invention and the prior art is that the test fixture of the present invention is disposed and overlaid on the image capturing device to perform adjustment of the test fixture by image analysis of resolution and color recognition, The data of the test fixture is adjusted to be the test fixture data corresponding to the standard of the image capture device, and then the standardized test fixture is prepared.

By means of this technical means, it is possible to solve the problem that the prior art corresponding to the image capturing device on different electronic devices can quickly and conveniently produce standard test fixtures, thereby achieving the provision of adjustable test fixtures and Image analysis to quickly and easily establish test fixture standards The technical efficacy of the data.

While the embodiments of the present invention have been described above, the above description is not intended to limit the scope of the invention. Any changes in the form and details of the embodiments may be made without departing from the spirit and scope of the invention. The scope of the invention is to be determined by the scope of the appended claims.

31‧‧‧Image capture module

32‧‧‧Decoding module

33‧‧‧ Alignment module

34‧‧‧Tips module

Claims (10)

A system for adjusting a test fixture by image analysis, comprising: an electronic device having an image capture device embedded therein; a test fixture disposed and covering the image On the capture device, the test fixture is provided with at least one light source and a standard image, the standard image includes at least one color region and at least one code region; and an image capture module for The image capturing device captures a detection image including the standard image; a decoding module is configured to decode the barcode of the detection image to generate a decoding result; and a comparison module is configured to perform Each pixel in the detected image is compared with at least one RGB value range to compare at least one color pixel range; and a prompting module is configured to: when the decoding result is inconsistent with a preset decoding result And generating a prompt message for adjusting the test fixture and displaying the same, and simultaneously displaying the detected image; when the decoding result is consistent with the preset decoding result and the length of the color pixel range is a pre- When the lengths are inconsistent, generating a lifting message for adjusting the test fixture light source and displaying the same, and simultaneously displaying the detected image; or when the decoding result is consistent with the preset decoding result and the color pixel range When the width does not match a preset width, a prompt message for adjusting the test fixture light source is generated and displayed, and the detected image is simultaneously displayed. The system for adjusting a test fixture by image analysis according to claim 1, wherein the decoding module performs barcode processing on the detected image according to a one-dimensional barcode decoding method or a two-dimensional barcode decoding method. Decoding to generate the decoding result. A system for adjusting a test fixture by image analysis as described in claim 1, wherein the color in the color region is a single color. A system for adjusting test fixtures by image analysis as described in claim 1 of the patent application, wherein The color pixel range is a rectangular range. The system for adjusting a test fixture by image analysis according to claim 1, wherein the prompting module further comprises: when the decoding result is consistent with the preset decoding result, the color pixel range The length of the color pixel is consistent with the preset length, and when the width of the color pixel range is consistent with the preset width, a prompt message of the adjustment completion is generated and displayed, and the detected image is simultaneously displayed. A method for adjusting a test fixture by image analysis, comprising the steps of: providing an electronic device with an image capture device embedded therein; providing a test fixture, the test fixture being disposed and covering the image At least one light source and a standard image are disposed on the sampling device, the standard image includes at least one color region and at least one code region; and the image capturing device extracts from the image capturing device a detected image of the standard image; performing decoding of the barcode on the detected image to generate a decoding result; performing comparison of each pixel in the detected image with at least one RGB value range for comparison At least one color pixel range; when the decoding result is inconsistent with a preset decoding result, generating a prompt message for adjusting the test fixture and displaying the same, and simultaneously displaying the detected image; when the decoding result is When the preset decoding results are consistent and the length of the color pixel range is inconsistent with a preset length, a prompt message for adjusting the test fixture light source is generated and displayed, and simultaneously And displaying the detection image; and when the decoding result is consistent with the preset decoding result and the width of the color pixel range is different from a preset width, generating a prompt message for adjusting the test fixture light source and The detected image is displayed and displayed at the same time. A method for adjusting a test fixture by image analysis as described in claim 6 of the patent application, wherein The step of decoding the barcode to generate the decoding result is to decode the barcode according to the one-dimensional barcode decoding method or the two-dimensional barcode decoding method to generate the decoding result. A method for adjusting a test fixture by image analysis according to claim 6, wherein the standard image includes the color region and the barcode region, and the color in the color region For a single color. A method for adjusting a test fixture by image analysis as described in claim 6, wherein each pixel in the detected image is compared with the range of RGB values to compare In the step of describing the color pixel range, the color pixel range is a rectangular range. The method for adjusting a test fixture by image analysis as described in claim 6, wherein the method for adjusting a test fixture by image analysis further comprises when the decoding result and the preset The decoding result is consistent, the length of the color pixel range is consistent with the preset length, and when the width of the color pixel range is consistent with the preset width, a prompt message of the adjustment completion is generated and displayed, and the display is simultaneously displayed. The detected image is described.